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» Quantifying Ambiguities in Inferring Vector-Based 3D Models
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CVPR
2004
IEEE
14 years 7 months ago
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...
Mun Wai Lee, Isaac Cohen
CVPR
2007
IEEE
13 years 11 months ago
Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching
3D human pose recovery is considered as a fundamental step in view-invariant human action recognition. However, inferring 3D poses from a single view usually is slow due to the la...
Fengjun Lv, Ramakant Nevatia
ACCV
2007
Springer
13 years 11 months ago
Learning Generative Models for Monocular Body Pose Estimation
We consider the problem of monocular 3d body pose tracking from video sequences. This task is inherently ambiguous. We propose to learn a generative model of the relationship of bo...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
COMCOM
2004
138views more  COMCOM 2004»
13 years 5 months ago
Issues with inferring Internet topological attributes
A number of recent studies of Internet network structure are based on data collected from inter-domain BGP routing tables and tools, such as traceroute, to probe end-to-end paths....
Lisa Amini, Anees Shaikh, Henning Schulzrinne
CVPR
2000
IEEE
14 years 7 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
Lin Zhou, Chandra Kambhamettu